Lead Agentic AI Engineer

Role Description

We are looking for a Lead Agentic AI Engineer to serve as the senior AI developer for a Cloud Security Tooling team, architecting GenAI workflows that automate configuration baseline enforcement, drift detection, and remediation across public cloud infrastructure. You will design RAG-based systems and LLM API integrations to generate compliant Terraform modules and Rego policies, lead a distributed engineering team in a follow-the-sun model, and own the technical strategy for AI enablement across cloud security tooling.

The role requires 6+ years of software engineering experience with 2+ years each in cloud IaC and agentic AI development.

What You Will Do

• Architect Generative AI workflows utilizing RAG, vector databases, and LLM APIs to automate the creation of configuration requirements, Rego policies, and Terraform modules for new cloud services (e.g., AWS S3).
• Oversee the development of AI-enabled drift detection, continuous discovery, and gap analysis capabilities to accelerate response and remediation activities.
• Accelerate the generation and validation of compliant Terraform modules, Rego policies (for Wiz Custom Configuration Rules), and Regula test cases for CI/CD pipelines.
• Act as the technical lead for the Cloud Security Tooling team’s AI enablement initiatives, designing service architecture and driving extensible frameworks.

Qualifications

• 6+ years of software engineering experience developing applications and services hosted on public cloud infrastructure.
• 2+ years of experience with cloud infrastructure deployment pipelines and infrastructure as code (IaC).
• 2+ years of experience developing Agentic models (e.g., OpenAI, Anthropic) using Retrieval-Augmented Generation (RAG) and Vector databases.
• Proven capability of technical leadership in a global organization developing technology strategy and driving technology programs.
• Proven capability to lead and mentor engineers in a distributed, asynchronous, follow-the-sun model.
• Upper-intermediate English level.

Nice to Haves

• Hands-on experience with modern AI orchestration frameworks (LangChain, LangGraph).
• Hands-on experience writing Rego policies (Open Policy Agent) or Regula test cases.
• Hands-on experience with Terraform.
• Familiarity with cloud-native security services in Amazon Web Services, Azure, and Google Cloud Platform.
• Familiarity with PagerDuty, Atlassian Suite, and ServiceNow.

Benefits

• Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget.
• Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews.
• Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm.
• Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands.
• Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized.
• Well-being & support: access local well-being programs and people-focused support tailored to your location.